Skip to main content

Resource Allocation for Energy Efficient Large-Scale Distributed Systems

  • Conference paper
Information Systems, Technology and Management (ICISTM 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 54))

Abstract

Until recently energy issues have been mostly dealt with by advancements in hardware technologies, such as low–power CPUs, solid state drives, and energy–efficient computer monitors. Energy–aware resource management has emerged as a promising approach for sustainable/green computing. We propose a holistic energy–aware resource management framework for distributed systems. This framework will seamlessly integrate a set of both site–level and system–level/service–level energy–aware scheduling schemes. One of our previous works as an example implementation of the framework is presented in this paper. The performance of the algorithm in this example implementation has been shown to be very appealing in terms particularly of energy efficiency.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Garey, M.R., Johnson, D.S.: Computers and Intractability, pp. 238–239. W.H. Freeman and Co., New York (1979)

    MATH  Google Scholar 

  2. Goh, L.K., et al.: Design of fast and efficient energy–aware gradient–based scheduling algorithms heterogeneous embedded multiprocessor systems. IEEE Trans. Parallel Distrib. Syst. 20(1), 1–12 (2009)

    Article  Google Scholar 

  3. Zhong, X., Xu, C.–Z.: Energy–aware modeling and scheduling for dynamic voltage scaling with statistical real-time guarantee. IEEE Trans. Computers 56(3), 358–372 (2007)

    Article  MathSciNet  Google Scholar 

  4. Lee, Y.C., Zomaya, A.Y.: Minimizing Energy Consumption for Precedence-constrained Applications Using Dynamic Voltage Scaling. In: Int’l Symp. Cluster Computing and the Grid (CCGRID 2009), pp. 92–99. IEEE Press, Los Alamitos (2009)

    Google Scholar 

  5. Zhu, D., Melhem, R., Childers, B.R.: Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor real-time systems. IEEE Trans. Parallel Distrib. Syst. 14(6), 686–700 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lee, Y.C., Zomaya, A.Y. (2010). Resource Allocation for Energy Efficient Large-Scale Distributed Systems. In: Prasad, S.K., Vin, H.M., Sahni, S., Jaiswal, M.P., Thipakorn, B. (eds) Information Systems, Technology and Management. ICISTM 2010. Communications in Computer and Information Science, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12035-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-12035-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12034-3

  • Online ISBN: 978-3-642-12035-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics